Principal Software Engineer - AI ADC

Job Description

A global technology client of Insight Global is seeking a Senior Staff Engineer - AI ADC to join their team. This company specializes in high-performance application delivery, network security, and AI-ready infrastructure solutions for enterprises, service providers, and government organizations.

This role combines deep domain expertise in Application Delivery Controllers (ADC), Server Load Balancing (SLB), DNS/GSLB, with practical experience in AI/LLM systems, to build intelligent routing, inference‑aware load balancing, and Layer‑8 contextual decision engines for AI workloads. The ideal candidate is a senior staff engineer who can drive architecture, design, prototyping, and execution—working closely with product management, platform teams, and AI strategy groups.

Key Responsibilities Include:

-Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic. -Design and implement LLM‑aware load balancing, incorporating semantic, token, latency, and model‑level insights into traffic decisions. -Develop enhancements for ADC and GSLB platforms to support AI workloads, including:

Token‑aware rate limiting Inference latency‑based routing AI model endpoint discovery and health checks Integration with vector databases, model registries, and ML observability systems

-Contribute to advanced features including Layer‑8 context‑aware routing, adaptive traffic shaping, and AI‑driven anomaly detection. -Drive system‑wide architecture: data plane, control plane, configuration, and distributed state management.

This role is permanent and will be worked hybrid on-site in San Jose, CA. We are looking to pay between $200,000-$220,000 base salary. Apply today!

Skills and Requirements

Advanced degree in Computer Science, Networking, or related field (MS/PhD preferred) Deep knowledge of L4–L7 protocols (TCP/TLS/HTTP/2/3, QUIC), load balancing algorithms and GSLB strategies (DNS‑based, HTTP redirect, anycast) Strong programming skills in C/C++ (data plane), Go/Python (control/ML), and performance profiling (perf, eBPF, flamegraphs, VTune/nvprof) Hands‑on experience with AI/ML systems, including: -Model inference pipelines, LLM API integrations -Token‑level behavior and performance characteristics -Understanding of AI workload routing challenges (latency, caching, batching, multi‑model orchestration)

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].